When more flexibility is desired, single-shot methods can be considered which allow the neural network to train on unpaired training sets of noisy images. An early method for doing this is N2V [1]} by using a so-called blind-spot network, this idea was built upon in [2]}, [3]}, [4]}, and [5]}. [6]} uses a mask mapper in conjunction with a novel loss function to unmask pixels in their blind-spot network.
